From c4cb73a9704b10b5e15ebd31a6ad876595030b39 Mon Sep 17 00:00:00 2001
From: Matei Alexandru Zaharia <matei@apache.org>
Date: Fri, 25 Oct 2013 05:14:37 +0000
Subject: tweak

---
 site/index.html | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

(limited to 'site/index.html')

diff --git a/site/index.html b/site/index.html
index 6c249c738..fb86d7ad0 100644
--- a/site/index.html
+++ b/site/index.html
@@ -126,9 +126,9 @@
 <p>To run programs faster, Spark offers a general execution model that can optimize arbitrary operator graphs, and supports in-memory computing, which lets it query data faster than disk-based engines like Hadoop.</p>
 
 <p>To make programming faster, Spark provides clean, concise APIs in
-<a href="/docs/latest/quick-start.html#a-standalone-job-in-python">Python</a>,
-<a href="http://www.scala-lang.org" onclick="javascript:_gaq.push(['_trackEvent','outbound-article','http://www.scala-lang.org']);">Scala</a> and
-<a href="/docs/latest/quick-start.html#a-standalone-job-in-java">Java</a>.
+<a href="http://www.scala-lang.org" onclick="javascript:_gaq.push(['_trackEvent','outbound-article','http://www.scala-lang.org']);">Scala</a>,
+<a href="/docs/latest/quick-start.html#a-standalone-job-in-java">Java</a> and
+<a href="/docs/latest/quick-start.html#a-standalone-job-in-python">Python</a>.
 You can also use Spark interactively from the Scala and Python shells to rapidly query big datasets.</p>
 
 <h2 id="what-can-it-do">What can it do?</h2>
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